PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-05-14 10:22:32.408778+00:00 (UTC)
In US/Central Time, this is 2024-05-14 05:22:32.408778-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../_images/6883ccbdc10dc41d538035b3fe3924ce4f0377abed4cc20e6d078a10482232a0.png
We are just generating a random time serie here.
../_images/35b9569ea1555b0225cdab43ba11f55b3ea777ca6143293a977425840f77b38b.png
../_images/b91f617b90beaed2fa224327f92e7b980057a347c010ffa931c7fe0922fe7217.png